PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-03-21 10:18:09.162733+00:00 (UTC)
In US/Central Time, this is 2024-03-21 05:18:09.162733-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/e1d7be4790e86149810622c053d3705c4f4145f3e768ac2858fa88fa4c89fe09.png
We are just generating a random time serie here.
../_images/397ec44be26215df22ec163c82c963d95a62385698f90a269083611e021cbdbf.png
../_images/42686505a4512282164096f30ecaa6093b112716928f67d3d1fa44548aa9c69d.png